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__init__.py
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__init__.py
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import random
import nltk
from ovos_classifiers.opm.nltk import WordnetSolverPlugin
from ovos_workshop.decorators import intent_handler
from ovos_workshop.skills.common_query_skill import CommonQuerySkill, CQSMatchLevel
class WordnetSkill(CommonQuerySkill):
def initialize(self):
nltk.download('punkt_tab')
nltk.download('averaged_perceptron_tagger_eng')
self.wordnet = WordnetSolverPlugin()
# intents
@intent_handler("search_wordnet.intent")
def handle_search(self, message):
query = message.data["query"]
summary = self.wordnet.spoken_answer(query, lang=self.lang)
if summary:
self.speak(summary)
else:
self.speak_dialog("no_answer")
@intent_handler("definition.intent")
def handle_definition(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("definition")
if res:
self.speak(res)
else:
self.speak_dialog("no_answer")
# TODO - plural vs singular questions
# TODO - "N lemmas of {query}"
@intent_handler("lemma.intent")
def handle_lemma(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("lemmas")
if res:
self.speak(random.choice(res))
else:
self.speak_dialog("no_answer")
@intent_handler("antonym.intent")
def handle_antonym(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("antonyms")
if res:
self.speak(random.choice(res))
else:
self.speak_dialog("no_answer")
@intent_handler("holonym.intent")
def handle_holonym(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("holonyms")
if res:
self.speak(random.choice(res))
else:
self.speak_dialog("no_answer")
@intent_handler("hyponym.intent")
def handle_hyponym(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("hyponyms")
if res:
self.speak(random.choice(res))
else:
self.speak_dialog("no_answer")
@intent_handler("hypernym.intent")
def handle_hypernym(self, message):
query = message.data["query"]
res = self.wordnet.search(query, lang=self.lang).get("hypernyms")
if res:
self.speak(random.choice(res))
else:
self.speak_dialog("no_answer")
# common query
def CQS_match_query_phrase(self, phrase):
summary = self.wordnet.spoken_answer(phrase, lang=self.lang)
if summary:
self.log.info(f"Wordnet answer: {summary}")
return (phrase, CQSMatchLevel.CATEGORY, summary,
{'query': phrase,
'answer': summary})
def CQS_action(self, phrase, data):
pass
if __name__ == "__main__":
from ovos_utils.fakebus import FakeBus
d = WordnetSkill(skill_id="wordnet.ovos", bus=FakeBus())
query = "what is the definition of computer"
ans = d.wordnet.search("computer", context={"lang": "es-es"})
print(ans)
# {'lemmas': ['computer', 'computing machine', 'computing device', 'data processor', 'electronic computer', 'information processing system'],
# 'antonyms': [],
# 'holonyms': [],
# 'hyponyms': ['analog computer', 'digital computer', 'home computer', 'node', 'number cruncher', 'pari-mutuel machine', 'predictor', 'server', 'turing machine', 'web site'],
# 'hypernyms': ['machine'],
# 'root_hypernyms': ['entity'],
# 'definition': 'a machine for performing calculations automatically'}
# full answer
ans = d.wordnet.spoken_answer(query)
print(ans)
# a machine for performing calculations automatically
# bidirectional auto translate by passing lang
sentence = d.wordnet.spoken_answer("qual é a definição de computador", lang="pt-pt")
print(sentence)
# uma máquina para realizar cálculos automaticamente